Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation

no code implementations • 28 Jun 2022 • Jiangcheng Qin, Baisong Liu, Xueyuan Zhang, Jiangbo Qian

The server with the item model provides low-dimensional item embeddings instead of raw item data to the user devices for local training and online inferring, achieving server broadcast compression.

Federated Learning Privacy Preserving

A Novel Privacy-Preserved Recommender System Framework based on Federated Learning

no code implementations • 11 Nov 2020 • Jiangcheng Qin, Baisong Liu

Recommender System (RS) is currently an effective way to solve information overload.

Federated Learning Recommendation Systems